A Project Report on Collaborative Filtering Based Recommendation Online Social Voting

dc.contributor.authorH K, Gunashree
dc.date.accessioned2019-09-07T13:16:22Z
dc.date.available2019-09-07T13:16:22Z
dc.date.issued2019-09-07T13:16:22Z
dc.description.abstractONLINE social networks (OSN), such as Facebook and Twitter, facilitate easy information sharing among friends. A user not only can share her updates, in forms of text, picture, and video, with her direct friends, but also can quickly disseminate those updates to a much larger audience of indirect friends, leveraging on the rich connectivity and global reach of popular OSNs. Many OSNs now offer the social voting function, through which a user can share with friends her opinions, e.g., like or dislike, on various subjects, ranging from user statuses, profile pictures, to games played, Manuscript received October 22, 2014; revised August 19, 2016; accepted January 24, 2017. X. Yang was with New York University, New York, NY 10003, USA. He is now with Ads Delivery and Optimization at toutiao.com, Haidian, Beijing 100086, China (e-mail: xy271@nyu.edu). C. Liang was with Alcatel-Lucent, Murray Hill, NJ 07974 USA, and also with New York University, Brooklyn, NY 11201 USA. He is now with Apple Inc., Cupertino, CA 95014 USA (e-mail: chaoliang.us@gmail.com). M. Zhao is with the Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong (e-mail: csmiaozhao@comp.polyu.edu.hk). H. Wang was with the Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/11163
dc.language.isoenen_US
dc.subjectGunashree H Ken_US
dc.subject16VFSB7020en_US
dc.subjectA Project Report on Collaborative Filtering Based Recommendation Online Social Votingen_US
dc.subjectBCA Project Reportsen_US
dc.titleA Project Report on Collaborative Filtering Based Recommendation Online Social Votingen_US
dc.typeOtheren_US
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